USE OF DASHBOARDS IN PREDICTING THE DEVELOPMENT OF THE COMPANY USING NEURAL NETWORKS IN HOTEL MANAGEMENT
Abstract
Tourism development currently represents a very important part of
national economics and its development and growth. To ensure growth, managers are looking for new effective tools to optimize decision making. This paper addresses the issue of dashboards based on neural networks and their utilization in managerial decision-making processes. Dashboard based reporting is oriented towards the tourism sector in Slovakia. The result of the research is the proposed balanced ranking and prediction model using financial and nonfinancial indicators with the application of artificial intelligence which allows to reach high level of efficiency and accuracy in evaluation of financial and nonfinancial health of companies operating in the hospitality sector. The proposed model also brings a new managerial and scientific point of view on the in-depth analysis of performance of these facilities. The main function of the proposed model is to classify health of a hotel. For this purpose, the MLP (Multi-Layer Perceptron) feedforward artificial neural network using backward propagation of errors was chosen as a training method.
Keywords
chemistry
technology
physics
business
restaurants
clubs
biology (general)
engineering (general). civil engineering (general)
environmental sciences
geography (general)
neurology. diseases of the nervous system
economics as a science
electronic computers. computer science
hospitality industry. hotels
etc. food service
geography. anthropology. recreation
information resources (general)
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